Computational Simulation of Adaptation of Work Strategies in Human-Robot Teams

The aim of this thesis is to gain a deeper understanding of adaptation of work strategies in human-robot teams, specifically how human-robot interaction protocols and function allocation can foster and/or limit such adaptation. To analyze these effects, this work will model adaptation to work demands in a team of humans and robots by mapping existing models of individual human adaptation to multi-agent systems. This modeling will be done from a work-perspective, identifying where dynamics of the work and human-robot interaction limit available work strategies and the associated effect on adaptation.